Data Engineer (IE / Ops Research)

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, build, maintain, and enhance data pipelines, applications, workflows, and governance capabilities within advanced data platforms.
• Develop and configure data pipelines, applications, user interfaces, workflows, and automations using platform-based tools such as code repositories, pipeline builders, and application development environments.
• Collect, transform, clean, validate, and integrate data from multiple sources, including ERP, maintenance, operational, and supply chain systems.
• Identify, analyze, and resolve data quality and pipeline performance issues while recommending solutions to improve reliability and accuracy.
• Develop governance, monitoring, and operational health applications to support platform performance, compliance, and visibility.
• Collaborate with technical and non-technical stakeholders to gather requirements, understand business challenges, and deliver tailored data solutions.
• Apply industrial engineering and operations research techniques, including process mapping, Lean/Six Sigma methods, time studies, constraints analysis, and capacity modeling, to improve operational performance.
• Conduct throughput, bottleneck, and capacity analyses across maintenance, production, logistics, and supply chain environments to support strategic investment decisions.
• Integrate operational data into simulation models to enable forecasting, scheduling optimization, and scenario-based analysis.
• Design and evaluate “what-if” scenarios with cross-functional teams to support planning, modernization, and infrastructure decisions.
• Create clear visualizations, briefings, and recommendations to communicate insights and support leadership decision-making.
• Support advanced analytics initiatives, including predictive modeling and digital engineering approaches, to improve efficiency and operational outcomes.
• Build trusted relationships with stakeholders to understand mission objectives and deliver impactful solutions.
• Contribute to business development activities, including proposal responses, technical documentation, capability presentations, and client-facing materials.

Requirements:

• Active and maintained Secret-level federal or DoD security clearance required.
• Bachelor’s degree required; STEM background preferred.
• Minimum of 3 years of hands-on experience in data engineering and/or database management.
• Experience developing data pipelines, workflows, applications, user interfaces, or automation solutions within modern data platforms.
• Hands-on experience with platform-based development environments, including code repositories, pipeline builders, application tools, and operational monitoring capabilities.
• Strong programming or scripting experience, with Python or PySpark preferred.
• Ability to identify data integrity issues, troubleshoot pipeline performance challenges, and implement mitigation strategies.
• Knowledge of relational database concepts, structures, and data management practices.
• Understanding of platform governance, observability, and operational monitoring principles.
• Experience applying industrial engineering, operations research, process optimization, or analytics methodologies is highly valued.
• Ability to support remote, hybrid, and occasional on-site project work, including projects in the DC metro area.
• Strong analytical thinking, communication skills, and ability to collaborate with diverse technical and operational teams.
• Preferred: 6+ years of experience across data engineering, industrial engineering, and/or operations research disciplines.

Benefits:

• Competitive annual salary range of $85,000 – $141,000, depending on experience, skills, training, certifications, security clearance, and organizational needs.
• Flexible remote work environment with opportunities for hybrid and on-site collaboration when required.
• Comprehensive medical, prescription, dental, and vision insurance coverage.
• Paid holidays, personal and family sick time, and supportive leave policies.
• Eligibility for discretionary performance-based incentive bonuses.
• Parental leave and adoption assistance programs.
• 401(k) retirement plan.
• Basic life insurance and supplemental life insurance options.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
• Short-term and long-term disability coverage.
• Student loan repayment support.
• Tuition reimbursement and professional development opportunities.
• Skills development programs and certification support.
• Employee referral incentives.
• Company-sponsored events and community engagement initiatives.
• Emergency backup childcare support.
• Mobility stipend opportunities.